qiskit.aqua.algorithms.BernsteinVazirani
class BernsteinVazirani(oracle, quantum_instance=None)
The Bernstein-Vazirani algorithm.
The Bernstein-Vazirani algorithm is an extension / restriction of the Deutsch-Jozsa algorithm. The goal of the algorithm is to determine a secret string , given a black box oracle function, that maps such that .
Parameters
- oracle (
Oracle) – The oracle component - quantum_instance (
Union[QuantumInstance,Backend,BaseBackend,None]) – Quantum Instance or Backend
__init__
__init__(oracle, quantum_instance=None)
Parameters
- oracle (
Oracle) – The oracle component - quantum_instance (
Union[QuantumInstance,Backend,BaseBackend,None]) – Quantum Instance or Backend
Methods
__init__(oracle[, quantum_instance]) | type oracleOracle |
construct_circuit([measurement]) | Construct the quantum circuit |
run([quantum_instance]) | Execute the algorithm with selected backend. |
set_backend(backend, **kwargs) | Sets backend with configuration. |
Attributes
backend | Returns backend. |
quantum_instance | Returns quantum instance. |
random | Return a numpy random. |
backend
Returns backend.
Return type
Union[Backend, BaseBackend]
construct_circuit
construct_circuit(measurement=False)
Construct the quantum circuit
Parameters
measurement (bool) – Boolean flag to indicate if measurement should be included in the circuit.
Returns
the QuantumCircuit object for the constructed circuit
Return type
quantum_instance
Returns quantum instance.
Return type
Optional[QuantumInstance]
random
Return a numpy random.
run
run(quantum_instance=None, **kwargs)
Execute the algorithm with selected backend.
Parameters
- quantum_instance (
Union[QuantumInstance,Backend,BaseBackend,None]) – the experimental setting. - kwargs (dict) – kwargs
Returns
results of an algorithm.
Return type
dict
Raises
AquaError – If a quantum instance or backend has not been provided
set_backend
set_backend(backend, **kwargs)
Sets backend with configuration.
Return type
None